File size: 3,728 Bytes
e4b9a7b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 | # -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project
# SPDX-FileType: SOURCE
# SPDX-License-Identifier: Apache-2.0
from collections import Counter
from typing import Dict, List
from pythainlp.corpus import thai_stopwords
_STOPWORDS = thai_stopwords()
def rank(words: List[str], exclude_stopwords: bool = False) -> Counter:
"""
Count word frequencies given a list of Thai words with an option
to exclude stopwords.
:param list words: a list of words
:param bool exclude_stopwords: If this parameter is set to **True**,
exclude stopwords from counting.
Otherwise, the stopwords will be counted.
By default, `exclude_stopwords`is
set to **False**
:return: a Counter object representing word frequencies in the text
:rtype: :class:`collections.Counter`
:Example:
Include stopwords when counting word frequencies::
from pythainlp.util import rank
words = ["บันทึก", "เหตุการณ์", " ", "มี", "การ", "บันทึก", \\
"เป็น", " ", "ลายลักษณ์อักษร"]
rank(words)
# output:
# Counter(
# {
# ' ': 2,
# 'การ': 1,
# 'บันทึก': 2,
# 'มี': 1,
# 'ลายลักษณ์อักษร': 1,
# 'เป็น': 1,
# 'เหตุการณ์': 1
# })
Exclude stopwords when counting word frequencies::
from pythainlp.util import rank
words = ["บันทึก", "เหตุการณ์", " ", "มี", "การ", "บันทึก", \\
"เป็น", " ", "ลายลักษณ์อักษร"]
rank(words)
# output:
# Counter(
# {
# ' ': 2,
# 'บันทึก': 2,
# 'ลายลักษณ์อักษร': 1,
# 'เหตุการณ์': 1
# })
"""
if not words:
return None
if exclude_stopwords:
words = [word for word in words if word not in _STOPWORDS]
return Counter(words)
def find_keyword(word_list: List[str], min_len: int = 3) -> Dict[str, int]:
"""
This function counts the frequencies of words in the list
where stopword is excluded and returns a frequency dictionary.
:param list word_list: a list of words
:param int min_len: the minimum frequency for words to be retained
:return: a dictionary object with key-value pair being words and their raw counts
:rtype: dict[str, int]
:Example:
::
from pythainlp.util import find_keyword
words = ["บันทึก", "เหตุการณ์", "บันทึก", "เหตุการณ์",
" ", "มี", "การ", "บันทึก", "เป็น", " ", "ลายลักษณ์อักษร"
"และ", "การ", "บันทึก","เสียง","ใน","เหตุการณ์"]
find_keyword(words)
# output: {'บันทึก': 4, 'เหตุการณ์': 3}
find_keyword(words, min_len=1)
# output: {' ': 2, 'บันทึก': 4, 'ลายลักษณ์อักษรและ': 1,
'เสียง': 1, 'เหตุการณ์': 3}
"""
word_list = rank(word_list, exclude_stopwords=True)
return {k: v for k, v in word_list.items() if v >= min_len}
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